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Metabolic Brain Disease

, Volume 31, Issue 2, pp 279–287 | Cite as

A metabonomic investigation on the biochemical perturbation in post-stroke patients with depressive disorder (PSD)

  • Xinghua Ding
  • Ruoxu Liu
  • Wenkai Li
  • Hengjia Ni
  • Yong Liu
  • Dandan Wu
  • Shuguang YangEmail author
  • Jing LiuEmail author
  • Bo XiaoEmail author
  • Shaojun LiuEmail author
Original Article

Abstract

A metabonomics study based on GC/MS and multivariate statistical analysis was performed involving 28 post stroke depressed (PSD) patients, 27 post-stroke non-depressed (PSND) patients and 33 healthy subjects to investigate the biochemical perturbation in their plasma samples. The outcome of this study showed that there was distinctive metabolic profile for PSD patients. Seven sentinel metabolites showed marked perturbations in PSD patients' blood. The introduction of metabonomics approach may provide a novel metabonomic insight about PSD and the sentinel metabolites for classifying PSD.

Keywords

Metabonomics GC/MS Stroke rehabilitation Post-stroke depression 

Notes

Acknowledgments

The authors would like to thank all participants who took part in this study, and the experts at the National Center of Biomedical Analysis for providing technical assistant. This work was supported by the Chinese National Key Project of Basic Research (2009CB918301 and 2009CB918303) and the Chinese National Natural Science Foundation (81370051 and 81471155).

Compliance with ethical standards

Conflict of interest

The authors have declared no conflict of interest.

Supplementary material

11011_2015_9748_Fig3_ESM.gif (28 kb)
Figure S1

The GC/TOF-MS TICs of healthy subjects, PSD patients, and PSND patients. The GC/TOF-MS total ion current chromatograms (TICs) of healthy subjects' group (a), PSD (b), and PSND (c). Each peaks of TICs represented the endogenous metabolites in plasma. PSD indicates Post-stroke depression patients group, PSND indicates Post-stroke non-depression patients group. (GIF 27.7 kb)

11011_2015_9748_MOESM1_ESM.eps (1.8 mb)
High Resolution Image (EPS 1.75 mb)
11011_2015_9748_MOESM2_ESM.docx (29 kb)
Table S1 RPA of metabolites detected by GC/MS in human plasma A. A, The normalized intensities of metabolites in healthy control subjects, Post-stroke patients including Post-stroke depression patients (PSD) and Post-stroke non-depression patients (PSND) are expressed with their Relative peak areas (RPA). Values are presented as mean ± SD. VIPB shows variable importance in the projection obtained from the PLS-DA model with a cutoff of 1.0. a, shows VIP value and P value (Student’s t-test or Mann-whitney test) between the healthy control subjects and Post-stroke patients; b, shows VIP value and P value between the PSD patients and PSND patients. (DOCX 28.8 kb)
11011_2015_9748_MOESM3_ESM.docx (16 kb)
Table S2 RPA of sentinel metabolites among the healthy subjects' group, post-stroke patients' group and its subgroup (PSD patients and PSND patients) from test set A. A, The normalized intensities of metabolites in healthy subjects, Post-stroke patients including Post-stroke depression patients (PSD) and Post-stroke non-depression patients (PSND) are expressed with their Relative peak areas (RPA). Values are presented as mean ± SD. a, shows P value obtained from the univariate analysis between the healthy control subjects and Post-stroke patients; b, shows P value between the PSD patients and PSND patients. (DOCX 16.4 kb)

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.State Key Laboratory of Proteomics and Department of NeurobiologyInstitute of Basic Medical SciencesBeijingChina
  2. 2.State Key Laboratory of Medical Genetics and School of Life ScienceCentral South UniversityChangshaChina
  3. 3.Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
  4. 4.Departmment of Cell Immunology, Institute of Basic Medical SciencesBeijingChina
  5. 5.Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
  6. 6.Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina

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